We use continuous-time quantum Monte-Carlo as implemented in TRIQS [1]}, [2]}, [3]}, [4]}, [5]}, [6]} open source package to study the finite temperature behaviour of the system. The Monte-Carlo parameters used in the calculations were: n_cycle = 200,000, n_warmup = 10,000, n_length = 500. The parameter, ncycles, is increased to 1,000,000 for the final few DMFT iterations to reduce stochastic noise. The number of Legendre polynomials(n_l) considered are dependent on the temperature we choose. We used n_l = 50 - 100 for inverse temperature (\(\beta \) ) ranging from 50 to 500. The number of processors (Dual Intel Xeon Cascadelake 8268) employed was 48.
